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Mouth covered detection for yawn

Yawn is one of the common fatigue sign phenomena. The common technique to detect yawn is based upon the measurement of mouth opening. However, the spontaneous human action to cover the mouth during yawn can prevent such measurements. This paper presents a new technique to detect the covered mouth by...

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Main Authors: Mat Ibrahim, Masrullizam, Soraghan, John J., Petropoulakis, Lykorgous
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/14028/1/Mouth_Covered_Detection_For_Yawn.pdf
http://eprints.utem.edu.my/id/eprint/14028/
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spelling my.utem.eprints.140282015-05-28T04:35:45Z http://eprints.utem.edu.my/id/eprint/14028/ Mouth covered detection for yawn Mat Ibrahim, Masrullizam Soraghan, John J. Petropoulakis, Lykorgous T Technology (General) Yawn is one of the common fatigue sign phenomena. The common technique to detect yawn is based upon the measurement of mouth opening. However, the spontaneous human action to cover the mouth during yawn can prevent such measurements. This paper presents a new technique to detect the covered mouth by employing the Local Binary Pattern (LBP) features. Subsequently, the facial distortions during the yawn process are identified by measuring the changes of wrinkles using Sobel edges detector. In this research the Strathclyde Facial Fatigue (SFF) database that contains genuine fatigue signs is used for training, testing and evaluation of the developed algorithms. This database was created from sleep deprivation experiments that involved twenty participants. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14028/1/Mouth_Covered_Detection_For_Yawn.pdf Mat Ibrahim, Masrullizam and Soraghan, John J. and Petropoulakis, Lykorgous (2013) Mouth covered detection for yawn. In: International Conference on Signal and Image Processing Applications (lCSIPA), August 2013, Melaka.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mat Ibrahim, Masrullizam
Soraghan, John J.
Petropoulakis, Lykorgous
Mouth covered detection for yawn
description Yawn is one of the common fatigue sign phenomena. The common technique to detect yawn is based upon the measurement of mouth opening. However, the spontaneous human action to cover the mouth during yawn can prevent such measurements. This paper presents a new technique to detect the covered mouth by employing the Local Binary Pattern (LBP) features. Subsequently, the facial distortions during the yawn process are identified by measuring the changes of wrinkles using Sobel edges detector. In this research the Strathclyde Facial Fatigue (SFF) database that contains genuine fatigue signs is used for training, testing and evaluation of the developed algorithms. This database was created from sleep deprivation experiments that involved twenty participants.
format Conference or Workshop Item
author Mat Ibrahim, Masrullizam
Soraghan, John J.
Petropoulakis, Lykorgous
author_facet Mat Ibrahim, Masrullizam
Soraghan, John J.
Petropoulakis, Lykorgous
author_sort Mat Ibrahim, Masrullizam
title Mouth covered detection for yawn
title_short Mouth covered detection for yawn
title_full Mouth covered detection for yawn
title_fullStr Mouth covered detection for yawn
title_full_unstemmed Mouth covered detection for yawn
title_sort mouth covered detection for yawn
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/14028/1/Mouth_Covered_Detection_For_Yawn.pdf
http://eprints.utem.edu.my/id/eprint/14028/
_version_ 1665905571233005568
score 13.211869

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